Human relighting is a highly desirable yet challenging task. Existing works either require
expensive one-light-at-a-time (OLAT) captured data using light stage or cannot freely …

We present a neural rendering-based method called NeRO for reconstructing the geometry
and the BRDF of reflective objects from multiview images captured in an unknown …

We introduce a highly robust GAN-based framework for digitizing a normalized 3D avatar of
a person from a single unconstrained photo. While the input image can be of a smiling …

Edge preserving filters preserve the edges and its information while blurring an image. In
other words they are used to smooth an image, while reducing the edge blurring effects …

Video portraits relighting is critical in user-facing human photography, especially for
immersive VR/AR experience. Recent advances still fail to recover consistent relit result …

Binaural audio gives the listener an immersive experience and can enhance augmented
and virtual reality. However, recording binaural audio requires specialized setup with a …

Human portraits exhibit various appearances when observed from different views under
different lighting conditions. We can easily imagine how the face will look like in another …

In many computer vision applications, images are acquired with arbitrary or random
rotations and translations, and in such setups, it is desirable to obtain semantic …

Recent breakthroughs in advanced manufacturing capabilities have made it possible to
design and print sophisticated topologies of cellular structures using diverse engineering …

Deep face recognition (FR) has achieved significantly high accuracy on several challenging
datasets and fosters successful real-world applications, even showing high robustness to …